Utilizing Demand Response to Improve Network Reliability and Ageing Resilience

Kopsidas, Konstantinos; Abogaleela, M.

doi:10.1109/tpwrs.2018.2883612

Cited by 34 publications

(21 citation statements)

References 35 publications

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“…In this case, the fitness functions are the summation of the net mismatch between the generation and the load, i.e., for low peak, Valley, and peak load hours. The fitness function (F x ) is shown in equation (23). The obtained best fitness is as presented in Figure 8 F…”

Section: Results Of Dr Program Execution and Analysis (Phase I)mentioning

confidence: 99%

“…The results obtained indicated that the implementation of DSM proved to be an efficient method in meeting peak load demand without compromising the network stability. The authors in [23] proposed a probabilistic modelling approach that utilizes the available DR during emergencies to reduce ageing of the network's overhead lines and enhance its reliability. In [24], authors proposed interruptible load and capacity market DSM using the Iranian peak load curve as a case study.…”

Section: Introductionmentioning

confidence: 99%

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An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone

et al. 2019

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Like in most developing countries, meeting the load demand and reduction in transmission grid bottlenecks remains a significant challenge for the power sector in Sierra Leone. In recent years, research attention has shifted to demand response (DR) programs geared towards improving the supply availability and quality of energy markets in developed countries. However, very few studies have discussed the implementation of suitable DR programs for developing countries, especially when utilizing renewable energy (RE) resources. In this paper, using the Freetown’s peak load demand data and the price elasticity concept, the interruptible demand response (DR) program has been considered for maximum demand index (MDI) customers. Economic analysis of the energy consumption, customer incentives, benefits, penalties and the impact on the load demand are analyzed, with optimally designed energy management for grid-integrated battery energy storage system (BESS) and photovoltaic (PV)-hybrid system using the genetic algorithm (GA). Five scenarios are considered to confirm the effectiveness and robustness of the proposed scheme. The results show the economic superiority of the proposed DR program’s approach for both customers and supplier benefits. Moreover, RE inclusion proved to be a practical approach over the project lifespan, compared to the diesel generation alternative.

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Section: Results Of Dr Program Execution and Analysis (Phase I)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone

et al. 2019

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“…Moreover, the distribution systems resilience can be improved by post-event operational strategies of load control capability, network reconfiguration and microgrid formation. In [18], a probabilistic method was presented to minimize network's aging and maximize its reliability by using the emergency demand response program. In [19], a model was proposed to investigate the impact of demand response on the resilience of dynamic clustered distribution system in operation stage.…”

Section: Indices Dmentioning

confidence: 99%

A Stochastic Planning Model for Improving Resilience of Distribution System Considering Master-Slave Distributed Generators and Network Reconfiguration

et al. 2021

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The recent experiences of extreme weather events highlight the significance of boosting the resilience of distribution systems. In this situation, the resilience of distribution systems planning leads to an efficient solution for protecting the system from these events via line hardening and the installation of distributed generators (DGs). For this aim, this study presents a new two-stage stochastic mixed-integer linear programming model (SMILP) to hedge against natural disaster uncertainty. The first stage involves making investment decisions about line hardening and DG installation. Then, in the second stage, the dynamic microgrids are created according to a master-slave concept with the ability of integrating distributed generators to minimize the cost of loss of load in each uncertain outage scenario. In particular, this paper presents an approach to select the line damage scenarios for the SMILP. In addition, the operational strategies such as load control capability, microgrid formation and network reconfiguration are integrated into the distribution system plans for resilience improvement in both planning and emergency response steps. The simulation results for an IEEE 33-bus test system demonstrate the effectiveness of the proposed model in improving disaster-induced the resilience of distribution systems.

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“…Another aspect of improving system controllability is to explore the flexibility provided by the demand side. In [55 ], a probabilistic optimisation model is proposed to minimise the network’ s overhead lines ageing and maximise its reliability by leveraging the available demand response under emergency situations. In [56 ], it is demonstrated that the restoration of electrical distribution system could be significantly improved by integrated control of household‐level flexible appliances.…”

Section: Enhancing Resiliencementioning

confidence: 99%

Resilient distribution system leveraging distributed generation and microgrids: a review

Liu

Jiang

Ollis

et al. 2020

IET Energy Systems Integration

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Utilizing Demand Response to Improve Network Reliability and Ageing Resilience

Cited by 34 publications

References 35 publications

An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone

An Economic Analysis of Demand Side Management Considering Interruptible Load and Renewable Energy Integration: A Case Study of Freetown Sierra Leone

A Stochastic Planning Model for Improving Resilience of Distribution System Considering Master-Slave Distributed Generators and Network Reconfiguration

Resilient distribution system leveraging distributed generation and microgrids: a review

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